Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 419 - 430
Опубликована: Янв. 1, 2024
Язык: Английский
Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 419 - 430
Опубликована: Янв. 1, 2024
Язык: Английский
Image and Vision Computing, Год журнала: 2024, Номер 145, С. 104975 - 104975
Опубликована: Март 12, 2024
Язык: Английский
Процитировано
18Computers in Biology and Medicine, Год журнала: 2024, Номер 176, С. 108557 - 108557
Опубликована: Май 7, 2024
Язык: Английский
Процитировано
13Alexandria Engineering Journal, Год журнала: 2024, Номер 103, С. 327 - 342
Опубликована: Июнь 18, 2024
Язык: Английский
Процитировано
5Artificial Intelligence Surgery, Год журнала: 2024, Номер 4(4), С. 364 - 75
Опубликована: Ноя. 4, 2024
Our aging population, diabetes, and obesity have fueled the growth of chronic wounds seen throughout world. Often, are a marker poor health that leads to increased mortality rates. However, diagnosis treatment these challenging. Incorrectly differentiating between other complex conditions can lead adverse events. Artificial intelligence (AI) has been shown offer some early benefits, we hypothesized it may enhance wound care but also carry notable risks. We performed detailed search using PubMed, Scopus, Cumulated Index in Nursing Allied Health Literature, Web Science for AI applications care. was found be applied characterization, monitoring tissue change, daily therapy, prevention prognostics. made more efficient accurate assessments, less painful assessments wounds, personalized treatment, improved prognostic prediction capabilities. allowed precise at-home observation care, facilitating earlier as needed. Challenges associated with included how best allocate AI-assisted technologies equitably, safely maintain patient data, diversify datasets algorithm training. Because algorithms not transparent, validating findings presents powerful tool several aspects advanced potential improve diagnoses, accelerate healing, reduce pain, cost-effectiveness More research needs done into incorporate clinical practice while keeping clinicians aware risks evolving technologies.
Язык: Английский
Процитировано
4Iran Journal of Computer Science, Год журнала: 2024, Номер unknown
Опубликована: Дек. 9, 2024
Язык: Английский
Процитировано
4Alexandria Engineering Journal, Год журнала: 2025, Номер 118, С. 194 - 207
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
0Alexandria Engineering Journal, Год журнала: 2024, Номер 105, С. 423 - 436
Опубликована: Авг. 9, 2024
Overheating of power transformers, low-voltage panels, and medium-voltage components in Electric Transformer Rooms (ETRs) can result from various factors, such as contact issues, irregular loads, other similar problems. Thermal imaging shows significant potential for detecting faults equipment. However, its effectiveness is hindered by the complex thermal patterns variability equipment environmental conditions, making accurate fault detection challenging. This paper aims to study transfer learning architectures automating classification ETRs. work applies four architectures: AlexNet, SqueezeNet, VGG19, GoogLeNet. The findings testing phase demonstrated that use fine-tuning pre-trained convolutional neural networks was highly effective images captured ETRs, with models achieving accuracy rates between 86.98% 100%, F 1 -Scores 86.79% 100%. • Transfer applied automate A dataset set up augmented improve generalization abilities proposed models. Establish standard comparisons among architectures.
Язык: Английский
Процитировано
3Smart Agricultural Technology, Год журнала: 2025, Номер unknown, С. 100817 - 100817
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 10, 2025
Язык: Английский
Процитировано
0Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 111 - 129
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0